code: def get_all_expanding_operators():
      """Gets all array expanding operators registered with MXNet.
  
      Returns
      -------
      {"operator_name": {"has_backward", "nd_op_handle", "params"}}
      """
      expanding_ops = [
          "broadcast_axes",
          "broadcast_axis",
          "broadcast_to",
          "broadcast_like",
          "repeat",
          "tile",
          "pad",
          "expand_dims",
      ]
  
      # Get all mxnet operators
      mx_operators = _get_all_mxnet_operators()
  
      # Filter for Array Expanding operators
      expanding_mx_operators = {}
      for op_name, op_params in mx_operators.items():
          if op_name in expanding_ops:
              expanding_mx_operators[op_name] = mx_operators[op_name]
      return expanding_mx_operators
  
imports: from operator import itemgetter
  from mxnet import runtime
  import mxnet
  from benchmark.opperf.rules.default_params import DEFAULTS_INPUTS, DEFAULTS_INPUTS_LARGE_TENSOR, MX_OP_MODULE
label_desc: Use image node_id 22 for calling a global function with example usage: get_all_expanding_operators() and returns: expanding_mx_operators